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Advances in genome-scale metabolic modeling allow us to investigate and engineer metabolism at a systems level.
The advances in data processing and the mathematics of volatility modeling allow us to quickly and efficiently model markets in ways unthinkable even some ten years ago.
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Additionally, modeling allows us to assign exposures specific to biennially updated residential addresses for the entire period of follow-up.
Agent-based modeling allows us to study the resulting global performance metrics of the simulator kernel.
Additionally, protein modeling allowed us to relate the results of phylogenetic studies with the predicted structures.
Metabolic models allow us to investigate the metabolism of the modelled organisms.
Such models allow us to fully consider the correlation between the two processes using a shared random effect (frailty).
Such models allow us to study the effects of strategies selected by botnet owners.
This type of two-dimensional model allow us a physical interpretation of the different contributions involved.
Tree inventories and a wind exposure model allow us to attribute these differences in impacts to storm meteorology.
Computer models allow us to look at statues from any viewpoint, change the lighting, and so on.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com